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# Checksum

> Checksum is a Continuous Quality platform that automatically generates, runs, and maintains E2E, CI, and API tests so engineering teams can ship at the speed of AI-assisted development without breaking production. About 70% of failures resolve autonomously, with no engineer intervention required.

## Product

- [Platform](https://checksum.ai/product/platform): The Checksum platform generates, runs, and heals your test suite automatically. Full E2E and API coverage with no manual maintenance.
- [Integrations](https://checksum.ai/product/integrations): Connect Checksum to your existing CI/CD stack. Native integrations with GitHub, GitLab, Jenkins, and more — no workflow changes required.
- [Pricing](https://checksum.ai/product/pricing): Checksum pricing is based on the number of tests we maintain for you — not seats, not runs.
- [Results-as-a-Service](https://checksum.ai/results-as-a-service): Stop managing testing tools. Checksum generates, maintains, and heals your Playwright test suite for you, with senior verification on every test.

## Agents

- [End-to-End Agent](https://checksum.ai/solutions/end-to-end-testing): Autonomous end-to-end testing that generates, runs, and maintains Playwright tests without babysitting. Full critical-journey coverage with AI-assisted healing built in from day one.
- [API Agent](https://checksum.ai/solutions/api-agent): Generate thousands of API tests from your documentation with a click. Autonomous, continuous coverage so your team can ship faster without sacrificing reliability.

## Solutions

- [Engineering Teams](https://checksum.ai/solutions/engineering-teams): Ship faster with fewer incidents. Continuous quality in CI/CD means less firefighting, fewer blocked releases, and confidence that scales with your team's output.
- [QA Teams](https://checksum.ai/solutions/qa-teams): Scale coverage without scaling headcount. Autonomous test generation and AI-assisted maintenance free you to focus on strategy, not test upkeep.

## Resources

- [Blog](https://checksum.ai/blog): Insights on AI testing, continuous quality, and autonomous software delivery from the Checksum team.
- [Customers](https://checksum.ai/customers): See how engineering and QA teams use Checksum to ship faster without breaking production.
- [Resources](https://checksum.ai/resources): Guides, reports, and case studies on AI testing and continuous quality.

## Guides & Reports

- [Ship faster without breaking production](https://checksum.ai/guides/guide-to-shipping): A practical guide to increasing release velocity without sacrificing quality. Learn how AI-assisted testing keeps production stable at speed.
- [The 2026 Benchmark Report](https://checksum.ai/reports/qa-benchmark-report-2026): Download the full QA Benchmark Report: how AI teams measure testing coverage, failure rates, and time-to-confidence across release cycles.
- [Continuous Quality: AI Coding's Missing Half](https://checksum.ai/whitepaper/continuous-quality-ai-codings-missing-half): AI coding tools transformed how software gets written. They haven't solved how it gets verified. This whitepaper makes the case for Continuous Quality as the infrastructure layer that closes the loop.

## Case Studies

- [Söderberg & Partners: Replacing Manual Release Testing With a Fully Automated E2E Suite](https://checksum.ai/case-studies/how-soderberg-partners-replaced-manual-release-testing-with-a-fully-automated-e2e-suite): How a Swedish financial services firm eliminated a painful manual test process, saved 90 hours of testing per month, and achieved full E2E coverage in weeks.
- [Counterpart: Shipping to Production Every Day Without Outages](https://checksum.ai/case-studies/how-counterpart-ships-to-production-every-day-without-outages): How Counterpart achieved zero production outages and the impact of a full QA team at less than half the cost of one offshore developer.
- [Postilize: Achieving Full Regression Testing With Checksum](https://checksum.ai/case-studies/how-postilize-achieved-full-regression-testing-with-checksum): How Postilize reached 0% flakiness, 70% fewer bugs, and 30% faster engineering cycles with a full automated test suite.
- [Reservamos: $200K Saved on QA Automation](https://checksum.ai/case-studies/reservamos-qa-automation-cost-savings): How Reservamos automated QA across every client environment, saved $200K a year, and reclaimed 20% of engineering time within one month.
- [Tend: Peak Season Coverage, Zero Regressions](https://checksum.ai/case-studies/tend-healthcare-regression-testing): How Tend achieved 100% coverage of critical flows before peak season with same-day Jira ticket creation for every failure.
- [Clearpoint Strategy: 250 Tests in a Month, 6 Critical Bugs Caught Weekly](https://checksum.ai/case-studies/clearpoint-strategy-qa-automation-savings): How Clearpoint Strategy built 250+ E2E tests in under a month with zero maintenance burden, saving an estimated $500K per year.
- [Ketch: Scaling to Nearly 200 E2E Tests Without Building an Automation Team](https://checksum.ai/case-studies/ketch-automated-test-maintenance): How Ketch turned end-to-end testing into a reliable daily release signal without growing a dedicated automation team.
- [Stellic: Cutting Manual Testing Time by 40%](https://checksum.ai/case-studies/stellic-reduce-manual-testing-time): How Stellic reduced manual testing by 40% with AI-generated, self-healing E2E tests and no additional developer headcount.
- [Engagement Agents: 500 Tests Migrated in a Week, UI Redesign Launched 30% Faster](https://checksum.ai/case-studies/engagement-agents-automated-e2e-testing): How Engagement Agents migrated 500 Cypress tests to Playwright in one week and shipped their full UI redesign 30% ahead of schedule.

## Videos

- [Checksum Overview Video](https://checksum.ai/videos/checksum-overview-video): A full walkthrough of how Checksum's AI agents generate, run, and maintain tests at every stage of development so teams can ship fast without trading speed for reliability.
- [Continuous Quality for AI Coding](https://checksum.ai/videos/continuous-quality-for-ai-coding): How Checksum acts as the verification layer for AI-generated code, closing the gap between fast code generation and confident deployment.
- [Generate Tests From Your OpenAPI Spec](https://checksum.ai/videos/generate-tests-from-your-openapi-spec): Step-by-step demo of the API Agent generating journey-based tests directly from an OpenAPI spec.
- [API Agent: Read Your API Agent Health Dashboard](https://checksum.ai/videos/api-agent-read-your-api-agent-health-dashboard): How to interpret the API Agent health dashboard and get actionable signal on your API test suite.
- [Triage Failures and Heal Broken Tests](https://checksum.ai/videos/triage-failures-and-heal-broken-tests): Demo of how Checksum automatically triages test failures and opens pull requests to heal broken tests.
- [Run Your API Test Suite and Read the Results](https://checksum.ai/videos/run-your-api-test-suite-and-read-the-results): How to execute an API test suite with the API Agent and interpret the results.
- [Set Environment Variables and Archive Old Tests](https://checksum.ai/videos/set-environment-variables-and-archive-old-tests): Managing environment configuration and keeping your test suite clean with archiving.
- [Review and Understand Your Generated API Tests](https://checksum.ai/videos/review-and-understand-your-generated-api-tests): A walkthrough of reviewing AI-generated API tests and understanding what each one covers.
- [Repo Mirror: Bidirectional Sync Between GitHub and Your Test UI](https://checksum.ai/videos/repo-mirror-bidirectional-sync-between-github-and-your-test-ui): How Repo Mirror keeps your GitHub repository and Checksum UI automatically in sync in both directions.
- [Checksum Webhooks: Connect Bug Detection to Jira, ClickUp, Notion, and More](https://checksum.ai/videos/checksum-webhooks-connect-bug-detection-to-jira-clickup-notion-and-more): How to wire Checksum bug detection directly into your project management tools via webhooks.
- [Deploy With Confidence: Checksum + Google Cloud for Faster Testing](https://checksum.ai/videos/deploy-with-confidence-checksum-google-cloud-for-faster-testing): How Checksum integrates with Google Cloud to deliver faster, more reliable end-to-end testing.
- [Run and Monitor Playwright Tests in the Cloud — No CI Setup Required](https://checksum.ai/videos/run-and-monitor-playwright-tests-in-the-cloud---no-ci-setup-required): How to run and monitor your Playwright test suite in the cloud without any CI configuration.
- [AI-Powered Test Health Dashboard: One Place to See Every Bug](https://checksum.ai/videos/ai-powered-test-health-dashboard-one-place-to-see-every-bug): Tour of the Feature Health Dashboard — how to get a single view of every bug, failure, and test status across your application.
- [The Missing Half of AI Coding](https://checksum.ai/videos/the-missing-half-of-ai-coding): Coding agents solved the easy problem. Verification is still broken. Meet the Code World Model: simulate production before a single line ships.


## Press Releases

- [Checksum Launches Continuous Quality Agent: The Verification Layer for AI-Generated Code](https://checksum.ai/press-releases/checksum-launches-continuous-quality-agent-the-verification-layer-for-ai-generated-code): Checksum launches its Continuous Quality Agent — an autonomous system that detects coverage gaps, generates tests, and heals broken tests without engineer intervention, fine-tuned on more than 1.5 million test runs.
- [Checksum Launches the API Agent for API Testing That Goes Beyond Endpoint Checks](https://checksum.ai/press-releases/checksum-launches-the-api-agent-for-api-testing-that-goes-beyond-endpoint-checks): Checksum launches its API Agent, generating and maintaining journey-based API tests that cover multi-step flows, auth boundaries, and real behavior — not just endpoint pings.

## Company

- [Company Vision](https://checksum.ai/company/vision): AI made writing code cheap. Verifying it is still expensive. Checksum is building the continuous quality layer for autonomous engineering.
- [Legal](https://checksum.ai/company/legal): Review Checksum's legal agreements, policies, and compliance documentation.
- [Privacy Policy](https://checksum.ai/privacy-policy): Learn how Checksum collects, uses, and protects your data.
- [Master Subscription Agreement](https://checksum.ai/company/legal/master-subscription-agreement): The Master Subscription Agreement governing use of Checksum's platform.
- [Data Processing Addendum](https://checksum.ai/company/legal/data-processing-addendum): Checksum's Data Processing Addendum outlines how we handle personal data in compliance with GDPR.

## Blog Posts

- [Your Team Is Shipping More Code Than Ever. Do You Trust It?](https://checksum.ai/blog/your-team-is-shipping-more-code-than-ever-do-you-trust-it): AI writes code fast. Shipping it with confidence is harder. Here's how engineering teams are closing the gap.
- [Results as a Service: Why Outcomes Drive Everything We Build](https://checksum.ai/blog/results-as-a-service): Most AI testing tools generate tests and leave. Checksum maintains them. Learn why outcome-based delivery matters.
- [Auto-Recovery vs. Auto-Healing: Why the Difference Matters](https://checksum.ai/blog/auto-recovery-vs-auto-healing-why-the-difference-matters-more-than-you-think): Most testing tools do auto-recovery. Checksum does auto-healing. The difference is whether your tests survive a feature change.
- [What Autonomous Software Engineering Actually Requires](https://checksum.ai/blog/what-autonomous-software-engineering-actually-requires): Autonomous software engineering needs more than better coding agents. Learn why a Code World Model is the missing infrastructure layer.
- [The Prompt-Test-Prompt Loop Is Killing Your Day](https://checksum.ai/blog/the-prompt-test-prompt-loop-is-killing-your-day): Stuck in the prompt-test-prompt loop? Learn why AI-generated tests keep breaking and what self-healing tests actually mean.
- [Why the AI Productivity Promise Doesn't Add Up](https://checksum.ai/blog/the-ai-productivity-promise-doesnt-add-up): AI-generated code ships fast but breaks more. Discover why the math of AI-accelerated teams is broken.
- [47% Better: What happened when we stopped teaching our agent our stack](https://checksum.ai/blog/47-better-what-happened-when-we-stopped-teaching-our-agent-our-stack): We changed how our AI agent works — no new model, no new data — and improved end-to-end test quality by 47%.
- [The True Cost of Maintaining a Test Suite](https://checksum.ai/blog/the-true-cost-of-maintaining-a-test-suite): Test maintenance is invisible until it isn't. Learn how to calculate what your test suite is really costing you.
- [The Problem With Web Agent Benchmarks](https://checksum.ai/blog/the-problem-with-web-agent-benchmarks-and-why-we-need-better-ones): Why AI browser automation benchmarks are measuring the wrong thing. Aggregate accuracy scores don't tell you which workflows actually work.
- [Continuous Quality: Building a World Model for Software](https://checksum.ai/blog/from-atoms-to-bits-building-a-world-model-for-software): AI can write code in seconds. Deploying it with confidence still takes days. We explore why coding agents can't see what they're breaking.
- [Checksum AI and Google Cloud: End-to-End Testing AI Innovation](https://checksum.ai/blog/checksum-ai-and-google-cloud-end-to-end-testing-ai-innovation): Checksum is now available on Google Cloud Marketplace.
- [Three Stages of Technology Transformation](https://checksum.ai/blog/three-stages-of-technology-transformation): From faster test generation to real-time continuous quality — where LLMs and testing are headed.
- [Flaky Tests: Why They Happen and How to Fix Them](https://checksum.ai/blog/flaky-tests-why-they-happen-and-how-to-cut-failures-fast): Flaky tests are not random. Selector changes, flow drift, environment instability — and how to eliminate each.
- [Why We Built a System of AI Agents to Automate E2E Testing](https://checksum.ai/blog/why-we-built-a-system-of-ai-agents-to-automate-e2e-testing): Why Checksum uses a system of LLM agents instead of one large model.
- [Your Gen AI App is Growing. Your Test Coverage Isn't.](https://checksum.ai/blog/your-gen-ai-app-is-growing-your-test-coverage-isnt): Why GenAI teams need a different approach to QA. Shipping daily with brittle test scripts and manual regression cycles isn't sustainable.
- [Does Output Format Actually Matter? JSON vs XML vs Markdown for LLMs](https://checksum.ai/blog/does-output-format-actually-matter-an-experiment-comparing-json-xml-and-markdown-for-llm-tasks): We ran 90 experiments across coding, bug fixing, and summarization tasks to find out.
- [New in Checksum: Faster Quality Signals Across CI/CD](https://checksum.ai/blog/new-in-checksum-faster-quality-signals-across-ci-cd): Feature Health Dashboard, ticketing integrations, and smarter triage.
- [Repo Mirror: Ending the Drift Between Code and UI](https://checksum.ai/blog/repo-mirror-ending-the-drift-between-code-and-ui): Bidirectional GitHub sync keeps your repository and Checksum UI automatically in sync.
- [Your Coding Agent Can't Test What It Doesn't Know](https://checksum.ai/blog/your-coding-agent-cant-test-what-it-doesnt-know): Coding agents like Claude Code can verify what they build — but that's not the same as owning your quality layer. Here's where the gap lives.
- [The Real Cost of QA Testing Tools (It's Not the License Fee)](https://checksum.ai/blog/the-real-cost-of-qa-testing-tools-its-not-the-license-fee): A practical guide to evaluating QA testing tools — covering maintenance cost, signal quality, and how AI is changing the economics of test upkeep.
- [The One Thing AI Makes Harder](https://checksum.ai/blog/the-one-thing-ai-makes-harder): As coding agents ship faster, the trust gap widens. Why LLMs can't verify their own work, and what a real quality layer looks like.
- [API Testing With AI Isn't Just Claude's Job](https://checksum.ai/blog/api-testing-with-ai-isnt-just-claudes-job): Why pointing an LLM at your OpenAPI spec produces tests that pass but catch nothing — and what a pipeline that actually finds bugs looks like.
- [CI/CD Has a Third Stage. You're Just Not Running It.](https://checksum.ai/blog/ci-cd-has-a-third-stage-youre-just-not-running-it): CI catches bugs. CD ships them. Neither tells you if your app still works after it lands. The case for Continuous Verification as the third stage.
- [The Continuous Quality Agent Is Here. Watch It Work.](https://checksum.ai/blog/the-continuous-quality-agent-is-here-watch-it-work): Launching the Continuous Quality Agent: the verification layer for AI-generated code. Four demos covering detection, generation, auto-healing, and CI/CD integration.
- [Quality Enablement Is the New Developer Experience](https://checksum.ai/blog/quality-enablement-is-the-new-developer-experience): The QA-to-QE shift isn't about renaming a role — it's the platform engineering model applied to quality. What that looks like in practice.
- [The AI Velocity Paradox: Why Faster Code Made Testing Harder](https://checksum.ai/blog/the-ai-velocity-paradox-why-faster-code-made-testing-harder): AI coding made teams faster and testing slower. How AI software testing tools have evolved, where the first generation failed, and what continuous quality looks like now.
- [Why Flaky E2E Tests Are Slowing Your Team Down](https://checksum.ai/blog/e2e-test-maintenance-continuous-verification): Flaky E2E tests slow teams down more than bad code ever could. How continuous verification gives engineers a reliable signal to ship fast with confidence.
- [Announcing the API Agent](https://checksum.ai/blog/announcing-the-api-agent): Introducing the Checksum API Agent — journey-based API tests that catch real bugs, ship the tests they can't pass as visible skips, and keep the suite alive as your API changes.
- [5 Alternatives to Manual QA: How to Weigh Your Options](https://checksum.ai/blog/manual-qa-alternatives): Manual QA can't keep pace with fast releases. A comparison of five alternatives — from outsourcing to AI test agents — and what actually solves the maintenance tax.